Hallucination Detector Guide
Learned about AI hallucinations and how to detect them. Built a comprehensive guide with real examples of failure modes and how to catch them before they ship.
View RepoHi, I'm Jay
Exploring AI, prompt engineering, and automation — one build at a time.
About Me
I've always loved AI and the similarity it has with humans — but what fascinates me just as much is how it's actually built, and the sheer range of solutions it can bring to real problems. That fascination is what pulled me into learning Claude and AI development hands-on: going from curious observer to someone who builds, tests, and ships with these tools every day.
I'm not coming at this from a traditional CS background — I'm learning by doing: writing real prompts, shipping small Python tools, wiring up data pipelines, and documenting what breaks along the way so the next build goes faster. Every project on this page is something I actually built, not a tutorial I copied.
Right now my focus is turning AI and data skills into things that solve real problems — for people, for businesses, for messy real-world datasets — and getting better, one project at a time.
"Curious about how it works. Focused on what it can build."
Fascinated by how AI mirrors human reasoning
Drawn to the engineering behind the intelligence
Focused on practical, real-world AI solutions
Learning by building — not just reading about it
Week 1 – 2
Learned about AI hallucinations and how to detect them. Built a comprehensive guide with real examples of failure modes and how to catch them before they ship.
View RepoCreated a collection of reusable prompts following the CONTEXT → TASK → FORMAT structure, built for consistency and reuse across projects.
View RepoBuilt a multi-file Python project that automates data cleaning, analysis, and reporting end-to-end — from raw input to a finished report.
View RepoAnalyzed campaign and customer data to surface actionable marketing insights, turning raw metrics into clear, decision-ready reporting.
View RepoToolbox
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